Shoe Station (SHOE) Shares Outstanding (2011 - 2026)
Shoe Station (SHOE) posted Shares Outstanding of 27.16 million for fiscal Q2 2027 (quarter ended Aug 1, 2026), down 0.7% from 27.34 million a year earlier and down 0.8% from the prior quarter.
Shoe Station (SHOE) Shares Outstanding (2011 - 2026) Analysis & Trends
For FY2026 (ended Jan 31, 2026), Shoe Station's Shares Outstanding came in at 27.32 million, up 0.6% from FY2025.
- Annual Shares Outstanding shows a five-year compound annual growth rate of -0.6% (FY2021 to FY2026).
- In prior fiscal years, Shoe Station's Shares Outstanding was 27.16 million in FY2025 (-0.3%), 27.23 million in FY2024 (-1.1%), 27.54 million in FY2023 (-2.4%) and 28.23 million in FY2022 (+0.4%).
- The fiscal Q2 2027 figure stands as the lowest quarterly Shares Outstanding since fiscal Q1 2025.
- On a year-over-year basis, Shares Outstanding increased in five of the last eight quarters, with growth averaging 0.2%.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was fiscal Q3 2026, with growth of 0.7%; the weakest was fiscal Q1 2024, with a decline of 2.8%.
- According to Business Quant data, Shares Outstanding for the three prior fiscal quarters was 27.39 million (Q1 2027), 27.32 million (Q4 2026) and 27.34 million (Q3 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Amazon Com | 2,686.58 Bn | 2,203.28 Bn | 104.83 Bn | 10.77 Bn |
| 2 | Home Depot | 283.87 Bn | 277.11 Bn | 16.12 Bn | 994.00 Mn |
| 3 | Tjx Companies | 145.82 Bn | 123.36 Bn | 5.07 Bn | 1.10 Bn |
| 4 | Lowes Companies | 103.43 Bn | 96.39 Bn | 8.58 Bn | 559.00 Mn |
| 5 | Ross Stores | 74.61 Bn | 57.54 Bn | 2.12 Bn | 317.69 Mn |
| 6 | Target | 71.16 Bn | 65.74 Bn | 8.94 Bn | 454.40 Mn |
| 7 | O Reilly Automotive | 69.71 Bn | 68.80 Bn | 2.52 Bn | 825.20 Mn |
| 8 | Carvana | 68.78 Bn | 60.38 Bn | 1.38 Bn | 717.69 Mn |
| 9 | Autozone | 46.23 Bn | 45.13 Bn | 2.52 Bn | 16.47 Mn |
| 10 | Shoe Station | 347.68 Mn | -151.70 Mn | 90.61 Mn | 27.16 Mn |
Historic Data
| Date | Value |
|---|---|
| Aug 1, 2026 | 27.16 Mn |
| May 2, 2026 | 27.39 Mn |
| Jan 31, 2026 | 27.32 Mn |
| Nov 1, 2025 | 27.34 Mn |
| Aug 2, 2025 | 27.34 Mn |
| May 3, 2025 | 27.23 Mn |
| Feb 1, 2025 | 27.16 Mn |
| Nov 2, 2024 | 27.16 Mn |
| Aug 3, 2024 | 27.16 Mn |
| May 4, 2024 | 27.14 Mn |
| Feb 3, 2024 | 27.23 Mn |
| Oct 28, 2023 | 27.26 Mn |
| Jul 29, 2023 | 27.34 Mn |
| Apr 29, 2023 | 27.22 Mn |
| Jan 28, 2023 | 27.54 Mn |
| Oct 29, 2022 | 27.45 Mn |
| Jul 30, 2022 | 27.59 Mn |
| Apr 30, 2022 | 28.00 Mn |
| Jan 29, 2022 | 28.23 Mn |
| Oct 30, 2021 | 28.19 Mn |
Shoe Station Shares Outstanding API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=shares-outstanding&ticker=SHOE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "SHOE", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=shares-outstanding&ticker=SHOE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();